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knowledge-rag

by lyonzin
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4.8/5.0

    Scored across 13 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: search, fetch full document, list, CRUD operations, URL import, and index maintenance. The two status/stat tools (get_reindex_status, get_index_stats) are separate and non-overlapping. No ambiguity between search and retrieval, or between add and update.

    Naming Consistency4/5

    Most tools follow a consistent verb_noun pattern (search_knowledge, add_document, update_document, remove_document, list_categories, list_documents). Minor deviation with 'add_from_url' which mixes source into the name, and 'evaluate_retrieval' which is a compound but still understandable. Overall the naming is predictable and clear.

    Tool Count5/5

    13 tools is a reasonable number for a knowledge base management system, covering search, document CRUD, URL import, reindexing, and evaluation. This is within the ideal 3-15 range and not excessive or sparse.

    Completeness5/5

    The tool set covers the full lifecycle: adding (via text or URL), updating, deleting, searching, retrieving, listing, reindexing, and quality evaluation. There's no obvious missing functionality for a RAG knowledge base. The inclusion of evaluate_retrieval and index stats adds operational completeness.

    Maintenance

    ActivityActive
    ResponsivenessWithin a week

    Resources